{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:GHGBFKEAEMW5VH75YBKM6PI3W2","short_pith_number":"pith:GHGBFKEA","canonical_record":{"source":{"id":"2607.16530","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-17T22:10:07Z","cross_cats_sorted":["stat.ME"],"title_canon_sha256":"971075661dc842bfb753c31f089a311e926f4b7832b23f4bf5da5ce63d2f70d0","abstract_canon_sha256":"ebe3a6737111fc83f86bf3a0736ea307afa17550b20ca67e1c7f659d4f7ca193"},"schema_version":"1.0"},"canonical_sha256":"31cc12a880232dda9ffdc054cf3d1bb68d1041fd6d5f98e66036f107acec247f","source":{"kind":"arxiv","id":"2607.16530","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.16530","created_at":"2026-07-21T00:20:23Z"},{"alias_kind":"arxiv_version","alias_value":"2607.16530v1","created_at":"2026-07-21T00:20:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.16530","created_at":"2026-07-21T00:20:23Z"},{"alias_kind":"pith_short_12","alias_value":"GHGBFKEAEMW5","created_at":"2026-07-21T00:20:23Z"},{"alias_kind":"pith_short_16","alias_value":"GHGBFKEAEMW5VH75","created_at":"2026-07-21T00:20:23Z"},{"alias_kind":"pith_short_8","alias_value":"GHGBFKEA","created_at":"2026-07-21T00:20:23Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:GHGBFKEAEMW5VH75YBKM6PI3W2","target":"record","payload":{"canonical_record":{"source":{"id":"2607.16530","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-17T22:10:07Z","cross_cats_sorted":["stat.ME"],"title_canon_sha256":"971075661dc842bfb753c31f089a311e926f4b7832b23f4bf5da5ce63d2f70d0","abstract_canon_sha256":"ebe3a6737111fc83f86bf3a0736ea307afa17550b20ca67e1c7f659d4f7ca193"},"schema_version":"1.0"},"canonical_sha256":"31cc12a880232dda9ffdc054cf3d1bb68d1041fd6d5f98e66036f107acec247f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-21T00:20:23.402246Z","signature_b64":"B3Fbu1GM9yQXACn97roUwQ97q8K9kdujB7ugygQJMt7ZbBAcHi+bcNZODa28psxkpA9mvAaCAVhVx+3vWrjSBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"31cc12a880232dda9ffdc054cf3d1bb68d1041fd6d5f98e66036f107acec247f","last_reissued_at":"2026-07-21T00:20:23.401383Z","signature_status":"signed_v1","first_computed_at":"2026-07-21T00:20:23.401383Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.16530","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-21T00:20:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XN/S/qyEwyJbKhL+zMTj2G9fdPK5Sf++2m5vTc5TkPPdaL3HoDDp/EXULxP+88uE3u1kJvvVao50Xwq+M2CjBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T07:29:13.273295Z"},"content_sha256":"3fd4f857016c40e6aa95d037f3e4f242ee926055da06f5cd1cdedb5abf75df8a","schema_version":"1.0","event_id":"sha256:3fd4f857016c40e6aa95d037f3e4f242ee926055da06f5cd1cdedb5abf75df8a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:GHGBFKEAEMW5VH75YBKM6PI3W2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Nonuniformity Principle in Human-AI Coworking","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["stat.ME"],"primary_cat":"cs.AI","authors_text":"An Luo, Jie Ding","submitted_at":"2026-07-17T22:10:07Z","abstract_excerpt":"As generative AI is increasingly applied to automate multi-step and high-stake workflows, human judgment and involvement remain essential for ensuring the quality of AI-generated outputs. In practice, while it is desirable for human experts to provide oversight on AI regularly, often by reviewing intermediate outputs, giving feedback, making corrections, and steering subsequent steps, such oversight is constrained by the time and resources that humans can afford. This creates a tension between the need for human oversight and AI's efficiency in delivering more output with less intervention. An"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.16530","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2607.16530/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-21T00:20:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"B2xw55OfjwEHBLan6aaoOd0Tk9YIhQfVFsNxPSOzV5GL7CEo36eHjNWkYoZ5LH2T1ECMJapTboqDIItQh3MRAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T07:29:13.274802Z"},"content_sha256":"4b9e7e5f0f362ec6852c0f72593b211c6dc437e99d23e525989156a64e0c8ff9","schema_version":"1.0","event_id":"sha256:4b9e7e5f0f362ec6852c0f72593b211c6dc437e99d23e525989156a64e0c8ff9"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:GHGBFKEAEMW5VH75YBKM6PI3W2","target":"integrity","payload":{"note":"Identifier '10.48550/arxiv.2303' is syntactically valid but the DOI registry (doi.org) returned 404, and Crossref / OpenAlex / internal corpus also have no record. The cited work could not be located through any authoritative source.","snippet":"doi: 10.48550/arXiv.2303. 08774. Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, John Schulman, Jacob Hilton, Fraser Kelton, Luke Miller, Maddie ","arxiv_id":"2607.16530","detector":"doi_compliance","evidence":{"doi":"10.48550/arxiv.2303","arxiv_id":null,"ref_index":16,"raw_excerpt":"doi: 10.48550/arXiv.2303. 08774. Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, John Schulman, Jacob Hilton, Fraser Kelton, Luke Miller, Maddie Simens, Amanda Askell, Peter Welinder, Paul F. Christiano, Jan Leike, and Ryan Lowe. Training language models to follow instructions with human feedback. InAdva","parse_status":"well_formed","verdict_class":"cross_source","checked_sources":["crossref_by_doi","openalex_by_doi","doi_org_head"],"resolution_status":"hard_miss"},"severity":"critical","ref_index":16,"audited_at":"2026-08-01T20:59:02.951548Z","event_type":"pith.integrity.v1","detected_doi":"10.48550/arxiv.2303","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"unresolvable_identifier","evidence_hash":"3a75189e573b6d59af67e1586def82f0a3008ef4d913cc788f3253fdeee87424","paper_version":1,"verdict_class":"cross_source","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":16610,"payload_sha256":"08c3502b6607544bd05b1f4be516f2e9af5a3d00d74e3c42368a7e77b52c3942","signature_b64":"c+4NCMn2E8mWEyGsNMd3GPHRVE7VNv8+h2aMrrFV2dOkhEROkBNWrAzApt8f+GYyG0qrwGdE60n6r+jmveT0Cw==","signing_key_id":"pith-v1-2026-05"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-08-01T21:03:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SR2KgDH9fP4eJbJh5eC8iZSuYtUZsq6fWTVUNJLYmEVGNLM0CgESueIjYvjLJgBh4887N2HJEhYSbxfRN+AmDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T07:29:13.285623Z"},"content_sha256":"0bb8d893877ffa19a33b0252ee6334e90d351e7203eef0364369d4aebeb1144d","schema_version":"1.0","event_id":"sha256:0bb8d893877ffa19a33b0252ee6334e90d351e7203eef0364369d4aebeb1144d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GHGBFKEAEMW5VH75YBKM6PI3W2/bundle.json","state_url":"https://pith.science/pith/GHGBFKEAEMW5VH75YBKM6PI3W2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GHGBFKEAEMW5VH75YBKM6PI3W2/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-06T07:29:13Z","links":{"resolver":"https://pith.science/pith/GHGBFKEAEMW5VH75YBKM6PI3W2","bundle":"https://pith.science/pith/GHGBFKEAEMW5VH75YBKM6PI3W2/bundle.json","state":"https://pith.science/pith/GHGBFKEAEMW5VH75YBKM6PI3W2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GHGBFKEAEMW5VH75YBKM6PI3W2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:GHGBFKEAEMW5VH75YBKM6PI3W2","merge_version":"pith-open-graph-merge-v1","event_count":3,"valid_event_count":3,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"ebe3a6737111fc83f86bf3a0736ea307afa17550b20ca67e1c7f659d4f7ca193","cross_cats_sorted":["stat.ME"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-17T22:10:07Z","title_canon_sha256":"971075661dc842bfb753c31f089a311e926f4b7832b23f4bf5da5ce63d2f70d0"},"schema_version":"1.0","source":{"id":"2607.16530","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.16530","created_at":"2026-07-21T00:20:23Z"},{"alias_kind":"arxiv_version","alias_value":"2607.16530v1","created_at":"2026-07-21T00:20:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.16530","created_at":"2026-07-21T00:20:23Z"},{"alias_kind":"pith_short_12","alias_value":"GHGBFKEAEMW5","created_at":"2026-07-21T00:20:23Z"},{"alias_kind":"pith_short_16","alias_value":"GHGBFKEAEMW5VH75","created_at":"2026-07-21T00:20:23Z"},{"alias_kind":"pith_short_8","alias_value":"GHGBFKEA","created_at":"2026-07-21T00:20:23Z"}],"graph_snapshots":[{"event_id":"sha256:4b9e7e5f0f362ec6852c0f72593b211c6dc437e99d23e525989156a64e0c8ff9","target":"graph","created_at":"2026-07-21T00:20:23Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2607.16530/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"As generative AI is increasingly applied to automate multi-step and high-stake workflows, human judgment and involvement remain essential for ensuring the quality of AI-generated outputs. In practice, while it is desirable for human experts to provide oversight on AI regularly, often by reviewing intermediate outputs, giving feedback, making corrections, and steering subsequent steps, such oversight is constrained by the time and resources that humans can afford. This creates a tension between the need for human oversight and AI's efficiency in delivering more output with less intervention. An","authors_text":"An Luo, Jie Ding","cross_cats":["stat.ME"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-17T22:10:07Z","title":"Nonuniformity Principle in Human-AI Coworking"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.16530","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:3fd4f857016c40e6aa95d037f3e4f242ee926055da06f5cd1cdedb5abf75df8a","target":"record","created_at":"2026-07-21T00:20:23Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"ebe3a6737111fc83f86bf3a0736ea307afa17550b20ca67e1c7f659d4f7ca193","cross_cats_sorted":["stat.ME"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-17T22:10:07Z","title_canon_sha256":"971075661dc842bfb753c31f089a311e926f4b7832b23f4bf5da5ce63d2f70d0"},"schema_version":"1.0","source":{"id":"2607.16530","kind":"arxiv","version":1}},"canonical_sha256":"31cc12a880232dda9ffdc054cf3d1bb68d1041fd6d5f98e66036f107acec247f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"31cc12a880232dda9ffdc054cf3d1bb68d1041fd6d5f98e66036f107acec247f","first_computed_at":"2026-07-21T00:20:23.401383Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-21T00:20:23.401383Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"B3Fbu1GM9yQXACn97roUwQ97q8K9kdujB7ugygQJMt7ZbBAcHi+bcNZODa28psxkpA9mvAaCAVhVx+3vWrjSBQ==","signature_status":"signed_v1","signed_at":"2026-07-21T00:20:23.402246Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.16530","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3fd4f857016c40e6aa95d037f3e4f242ee926055da06f5cd1cdedb5abf75df8a","sha256:4b9e7e5f0f362ec6852c0f72593b211c6dc437e99d23e525989156a64e0c8ff9","sha256:0bb8d893877ffa19a33b0252ee6334e90d351e7203eef0364369d4aebeb1144d"],"state_sha256":"1c9adc0336845fb25304e223203d4992620dfdc703023b4ecae2935cf19ff0d2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YXxlDa66tJdGl7ulonOT/WUikHuPZukwMzsotRVOMhKmnEcyFfxU2wSL9sBbObk1QfFgCkSlzAjXRmFGcohwCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T07:29:13.288714Z","bundle_sha256":"4105207fe697676e4a78448a45a7b64327aaa207e8fadd3ea5b9fcf01e462c27"}}